Development of a deep learning-based prediction model for water consumption at the household level

J Kim, H Lee, M Lee, H Han, D Kim, HS Kim - Water, 2022 - mdpi.com
The importance of efficient water resource supply has been acknowledged, and it is
essential to predict short-term water consumption in the future. Recently, it has become …

Smart Water Solutions for the Operation and Management of a Water Supply System in Aracatuba, Brazil

K Shim, E Berrettini, YG Park - Water, 2022 - mdpi.com
Because of population growth, rapid urbanization, and climate change, many water supply
utilities globally struggle to provide water that is safe to drink. A particular problem is the …

Sustainable water allocation and water footprints

AR Chowdhury, A Das - Current Directions in Water Scarcity Research, 2024 - Elsevier
This chapter offers a comprehensive analysis of water management, addressing the
pressing global water crisis and the adoption of sustainable practices. It begins by …

Comparative analysis of linear model and deep learning algorithm for water usage prediction

J Kim, DH Kim, W Wang, H Lee, M Lee… - Journal of Korea Water …, 2021 - koreascience.kr
It is an essential to predict water usage for establishing an optimal supply operation plan
and reducing power consumption. However, the water usage by consumer has a non-linear …

[HTML][HTML] A Study on Developing an AI-Based Water Demand Prediction and Classification Model for Gurye Intake Station

D Kim, S Choi, S Kang, H Noh - Water, 2023 - mdpi.com
Drought has significant impacts on both society and the environment, but it is a gradual and
comprehensive process that affects a region over time. Therefore, non-structural measures …

Empowering sustainable water management: the confluence of artificial intelligence and Internet of Things

A Das, AR Chowdhury - Current Directions in Water Scarcity Research, 2024 - Elsevier
The content of this chapter examines the profound implications of artificial intelligence (AI)
and the Internet of Things (IoT) on water management, emphasizing their indispensable …

A study on the practical use of smart meter end-user demand data.

G Park, D Jung, S Jun - 2021 - cabidigitallibrary.org
This work introduces a new approach that classifies individual household water usage by
examining the characteristics of smart meter end-user demand data. Here, one of the most …

[PDF][PDF] A Study on Water Demand Prediction of Gurye Intake Station Using AI-Based Classification Models

HS Noh, SJ Choi, SK Kang, DH Kim - 디지털콘텐츠학회논문지(J …, 2022 - journal.dcs.or.kr
Drought has a serious impact on society and the environment, but it is a comprehensive and
gradual process in the affected area. It is necessary to establish non-structural measures …

AI 기반분리모형을활용한구례취수장의용수수요량예측에관한연구

노희성, 최시중, 강성규, 김동현 - 디지털콘텐츠학회논문지, 2022 - dbpia.co.kr
가뭄은 사회 및 환경에 심각한 영향을 끼치고 있지만, 발생 지역이 포괄적이고 점진적으로
진행된다. 이에 가뭄으로 인한 피해를 사전에 대비 및 대응 차원에서 가뭄 단계에 따라 …